Senior Java Backend Developer

Role- Java Backend Developer Location- Mississauga ON(3 Days/Week) Contract to Hire Position Overview We are seeking a highly skilled and passionate Senior Java Backend Developer to join our engineering team as a Senior Individual Contributor. In this role, you will be responsible for designing, building, and optimizing high-performance, robust, and scalable backend applications specialized in batch and real-time data processing. As a senior technical leader with a strong programming background, you will drive the architecture and implementation of complex distributed systems. You will play a crucial role in analyzing system requirements, designing data flows, and ensuring clean, maintainable, and highly efficient code. This role demands deep technical expertise in Core Java, concurrency, memory management, and modern distributed data frameworks, without the burden of people management responsibilities. Category Targeted Keywords Languages & Core Tech Core Java, Java 17, Java 21, JVM Tuning, Multithreading, Concurrency, Garbage Collection, OOP, SOLID Principles, Design Patterns, Data Structures, Algorithms Frameworks & APIs Spring Boot, Spring Cloud, Microservices, Hibernate, JPA, REST, gRPC, Event-Driven Architecture Data Processing & Messaging Apache Kafka, Apache Spark, Flink, Hadoop, ETL, Data Pipelines, Batch Processing, Stream Processing, Messaging Queues Databases SQL, PostgreSQL, Oracle, NoSQL, MongoDB, Cassandra, Redis, Database Optimization, Schema Design DevOps & Cloud Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, AWS, Linux, Cloud-Native, Distributed Systems Methodologies & Quality TDD (Test-Driven Development), Clean Code, Unit Testing, Integration Testing, Systems Analysis, Agile, SDLC Key Responsibilities Systems Analysis & Architecture: Analyze complex business requirements and translate them into highly scalable, reliable, and secure backend systems designs. Evaluate trade-offs between different data architecture patterns (e.g., microservices vs. event-driven).Hands-on Programming: Write high-quality, production-ready, and performant Java code. Leverage advanced software engineering principles such as Object-Oriented Programming (OOP), SOLID design principles, and design patterns.Technical Project Delivery: Lead the technical implementation and delivery of critical, complex backend and data-processing initiatives. Partner with cross-functional teams to ensure successful project deployment from conception through production.Subject Matter Expertise (SME): Act as the resident Subject Matter Expert (SME) in high-throughput data processing, stream processing, or JVM performance tuning. Provide guidance on industry best practices and emerging backend technologies.Performance Optimization: Diagnose, profile, and resolve complex performance bottlenecks, memory leaks, and concurrency issues in high-volume distributed environments.Quality Assurance & Best Practices: Champion code quality through Test-Driven Development (TDD), comprehensive unit/integration testing, and rigid code review standards.Mentorship: Provide technical mentorship and architectural guidance to other engineers on the team, fostering a culture of technical excellence and clean code. Technical Skills & Qualifications Required Qualifications: Experience: 8+ years of professional experience in application development or systems analysis, with a heavy emphasis on Java-based backend architectures.Core Java Mastery: Deep, expert-level understanding of Core Java (Java 11/17/21), including advanced multithreading, concurrency models, Java memory model (JVM garbage collection, heap analysis), and Collections API.Data Processing & Streaming: Extensive hands-on experience building distributed data processing systems, ETL pipelines, and real-time streaming architectures using tools like Apache Kafka, Apache Spark, Flink, or Hadoop.Framework Expertise: Strong experience with the Spring Ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Security) and ORM frameworks (Hibernate/JPA).Database Management: Proficiency in designing schemas and writing optimized queries for both relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL stores (e.g., Cassandra, MongoDB, Redis).Distributed Systems: Comprehensive understanding of distributed system design patterns, consensus protocols, caching strategies, and API design (RESTful APIs, gRPC).CI/CD & DevOps: Practical experience with containerization (Docker, Kubernetes), continuous integration/continuous deployment tools (Jenkins, GitLab CI, or GitHub Actions), and infrastructure-as-code principles.Testing: Strong advocate for testing frameworks such as JUnit, Mockito, and integration testing tools.Preferred Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), specifically managed database and container services.Experience in financial services, banking technology, or large-scale enterprise transaction systems.Familiarity with Unix/Linux environments, shell scripting, and network configurations.